Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації
This paper studies issues of the rise in the standards of living and improvement of the quality of life of the population in the frame of intermunicipal disparities. Simulation and modelling are examined in relation to research of standards of living and quality of life. Tools of cognitive modelling...
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System research and information technologies| _version_ | 1867334411769348096 |
|---|---|
| author | Tyushnyakov, Vitaly Tkachenko, Yulia |
| author_facet | Tyushnyakov, Vitaly Tkachenko, Yulia |
| author_institution_txt_mv | [
{
"author": "Vitaly Tyushnyakov",
"institution": "Southern Federal University, Taganrog"
},
{
"author": "Yulia Tkachenko",
"institution": "Southern Federal University, Taganrog"
}
] |
| author_sort | Tyushnyakov, Vitaly |
| baseUrl_str | http://journal.iasa.kpi.ua/oai |
| collection | OJS |
| datestamp_date | 2021-04-08T14:17:06Z |
| description | This paper studies issues of the rise in the standards of living and improvement of the quality of life of the population in the frame of intermunicipal disparities. Simulation and modelling are examined in relation to research of standards of living and quality of life. Tools of cognitive modelling and simulation are used to acquire new knowledge on the regional social and economic, ecological, and political system which determines the standards of living and quality of life. A cognitive model studying the quality of life was designed and its structural properties were analyzed. Scenarios were created to model possible developments of the situation under the influence of various factors. The novelty of the work is in applying a new informational technology of cognitive modelling to studying the improvement of the quality of life in the frame of intermunicipal disparities. |
| doi_str_mv | 10.20535/SRIT.2308-8893.2020.4.03 |
| first_indexed | 2025-07-17T10:27:04Z |
| format | Article |
| fulltext |
V.N. Tyushnyakov, Y.G. Tkachenko, 2020
Системні дослідження та інформаційні технології, 2020, № 4 29
TIДC
ТЕОРЕТИЧНІ ТА ПРИКЛАДНІ ПРОБЛЕМИ
ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ ПІДТРИМАННЯ
ПРИЙНЯТТЯ РІШЕНЬ
UDC 332.1
DOI: 10.20535/SRIT.2308-8893.2020.4.03
USING COGNITIVE MAPS TO STUDY ISSUES CONCERNING
THE IMPROVEMENT OF THE QUALITY OF LIFE OF POPULA-
TION IN THE FRAME OF INTERREGIONAL DISPARITIES
V.N. TYUSHNYAKOV, Y.G. TKACHENKO
Abstract. This paper studies issues of the rise in the standards of living and im-
provement of the quality of life of the population in the frame of intermunicipal dis-
parities. Simulation and modelling are examined in relation to research of standards
of living and quality of life. Tools of cognitive modelling and simulation are used to
acquire new knowledge on the regional social and economic, ecological, and politi-
cal system which determines the standards of living and quality of life. A cognitive
model studying the quality of life was designed and its structural properties were
analyzed. Scenarios were created to model possible developments of the situation
under the influence of various factors. The novelty of the work is in applying a new
informational technology of cognitive modelling to studying the improvement of the
quality of life in the frame of intermunicipal disparities.
Keywords: cognitive modelling, quality of life of population, standards of living,
regional development, intermunicipal disparities.
INTRODUCTION
With the RF pursuing the innovative socially-oriented development of economy
in accordance with [1], it will be necessary to carry out a number of reforms inter-
related in terms of resource and time limitations. In respect of human potential, it
is supposed that an enabling environment should be created to develop an indi-
vidual’s talents and skills, improve people’s quality of life and social welfare,
provide a competitive edge to people and develop the related supporting socially-
oriented economic sectors.
These reforms in accordance with the concept aim at ‘overcoming negative
demographic trends, stabilizing the population and providing for its growth, im-
proving the population’s quality of life; ensuring steady pay rise; providing access
to quality education and medical care, ensuring safety and order; providing af-
fordable and quality housing for people, creating comfortable urban environment
and efficient public utility sector, developing a flexible population relocation sys-
tem taking into account regional and national diversity…
A greater number of scientists have recently been using the notion of social
stratification which refers to a society’s categorization into groups based on such
V.N. Tyushnyakov, Y.G. Tkachenko
ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 30
criteria as income level or lifestyle, the existence or absence of privileges. Based
on the social stratification, the standard of living indicator may be represented as
the part of people who belong to a certain social stratum.
It is a rather complex and painstaking process to study and estimate people’s
standards of living and quality of life. Development and implementation of inno-
vative tools analyzing the quality of life would solve a number of complex tasks
while estimating the population’s quality of life [2–4]. This paper suggests using
cognitive techniques to study issues of the people’s quality of life improvement,
scientific prediction, and cognitive analysis of socioeconomic development of the
region amid interregional disparities [5–8].
Cognitive modelling of complex objects includes development of a cognitive
model of the system under the study (signed directed graph, functional graph);
analysis of the developed model properties (complexity, stability, sensitivity);
analysis of paths and cycles; scenario modelling; making the decision on the se-
lection of the scenario most feasible for the implementation [9–16].
The cognitive study of the issues of the population’s quality of life im-
provement in the frame of interregional disparities yielded the Standards of Liv-
ing and Quality of Life (SL&QL) model as a hierarchical cognitive map which
generalizes causal relations between socioeconomic development indicators at the
regional level [17–27].
DEVELOPMENT OF THE SL&QL COGNITIVE MODEL
To develop the SL&QL model, the theory and practical provisions on the quality
of life, as well as statistics, expert surveys, and results of a SWOT analysis
[2, 3, 28] were used.
During the initial modelling phase, the research objective was formulated
and approved; theoretical evidence and statistics were collected, and expert
surveys were carried out. As a result of data processing, a set of vertices V={vi}
was created and relationships }{ ijeE , kj ,,2,1 between the vertices were
mapped EVG , . The relationships can be defined as weighting factors ijw
and functions }{ ijfF .
Table 1 contains the vertices which are the influences affecting the people’s
standards of living and quality of life in the region.
T a b l e 1 . Vertices of the cognitive map 0G “The Standards of Living and Quality
of Life”
Code Vertex name Vertex assignment
V1 Quality of life in the region Target
V2 Living standards in the region Target
V3 Gross Regional Product Indicative
V4 Regional and municipal budgets Basic
V5 Ecological situation Basic
V6 State of education Basic
V7 Health status Basic
V8 Social environment Basic
V9 Social inequality Outrageous
V10 Demographic indicators Indicative
Using cognitive maps to study issues concerning the improvement of the quality of life
Системні дослідження та інформаційні технології, 2020, № 4 31
Continued tabl. 1
Code Vertex name Vertex assignment
V11 Industrial production Manager
V12 Agricultural production Manager
V13 Labor market Outrageous
V14 The salary Managed
V15 Population income Basic
V16 Inter-municipal differentiation Outrageous
V17 Regional migration Outrageous
V18 Investment climate Basic
V19 State policy in the field of improving the quality of life Manager
V20 Security (economic, social, environmental, legal) Outrageous
V21 Geopolitical situation Outrageous
For the SL&QL cognitive map G, see Fig. 1. To create cognitive map G , the
tools of the information-analytical Cognitive Modeling Software System (CMSS)
were used [29]. In Fig.1, positive links are shown as solid lines. When the value
of the signal at vertex iV increases or vice versa, the value of the signal at jV in-
creases or decreases. Negative links are shown as dashed lines. When the value of
the signal at vertex iV increases or vice versa, the value of the signal at jV de-
creases or increases.
During the second phase, the system stability for disturbances as well as the
structural stability were analyzed.
Fig. 1. The cognitive map G
V.N. Tyushnyakov, Y.G. Tkachenko
ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 32
When analyzing the system stability for disturbances, the roots were found
for a characteristic equation of the relational matrix of SL&QL graph G . Solving
the characteristic equation is shown in Fig. 2. As the maximum absolute of value
of 12|| M , then in accordance with the accepted criterion [30, 31], the system
under study is unstable for disturbances and requires control.
Eigenvalues
# Real part Imaginary part Module (2,0007)
0 2,0007 0,0 2,0007
1 -0,1004 1,5721 1,5721
2 -0,1004 -1,5721 1,5721
3 0,7457 1,1233 1,1233
4 0,7457 -1,1233 1,1233
5 -1,1555 0,6208 1,1555
6 -1,1555 -0,6208 1,1555
7 -0,2267 0,9673 0,9673
8 -0,2267 -0,9673 0,9673
9 0,4402 0,5623 0,5623
10 0,4402 -0,5623 0,5623
11 -1,029 0,0 1,029
Fig. 2. The roots for a characteristic equation of the graph G
The analysis of positive and negative cycles of graph G allows concluding
the model is structurally stable [9, 10, 30, 31]. For results of the computing ex-
periment, see Fig. 3.
Fig. 3, a. The cycle of the graph G
Using cognitive maps to study issues concerning the improvement of the quality of life
Системні дослідження та інформаційні технології, 2020, № 4 33
In Fig. 3, as an example, the negative cycle which stabilizes the system (the
upper graph) and the positive cycle which accelerates processes (the lower graph)
are highlighted. SL&QL graph G includes 232 cycles, of which 101 are negative.
An odd number of negative feedback cycles in graph G proves the system under
consideration is structurally stable [30, 31].
SCENARIO MODELLING IN GRAPH G
The next step in the cognitive study involves pulse modeling of possible situation
development scenarios on the regional level with the various controlling, restrict-
ing, and disturbing influences considered. When simulating possible system be-
havior scenarios, in the cognitive map at moment n signals are added as pulses
iq , at vertices iV , the combination of which forms disturbance and control vector
},,{)( 1 kqqnQ .
Prior to modelling scenarios in the SL&QL cognitive map, the computing
experiment plan was worked out, which is a set )}({ nQ which represents possible
system behavior trends when the relevant control or disturbance influences are
added.
Fig. 4 illustrates how the situation develops under conditions of a pulse pro-
cess in accordance with scenario 1. Let us assume the state’s social welfare poli-
cies are improving: 119 q .
Scenario 1. }0,,1,,0{)( 211911 qqqnQ .
Table 2 contains results of the computing experiment.
Fig. 3, b. The cycle of the graph G
V.N. Tyushnyakov, Y.G. Tkachenko
ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 34
The acquired results are represented in the respective line charts which are
drawn based on the results of the pulse process calculation (see Table 2). For the
line charts most demonstrable in respect of the situation development trends at
some vertices of graph G , see Fig. 4.
T a b l e 2 . Calculation of impulse processes in accordance with the scenario 1
Step
Vertex
0,0 1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0
V1. Quality of life in the region 0,0 0,0 0,0 3,0 10,0 13,0 10,0 10,0 41,0
V2. Living standards in the region 0,0 0,0 0,0 0,0 0,0 1,0 8,0 16,0 18,0
V3. Gross Regional Product 0,0 0,0 0,0 0,0 1,0 6,0 9,0 8,0 21,0
V4. Regional and municipal budgets 0,0 0,0 1,0 1,0 2,0 1,0 5,0 14,0 28,0
V5. Ecological situation 0,0 0,0 0,0 1,0 1,0 2,0 1,0 5,0 14,0
V6. State of education 0,0 0,0 1,0 2,0 2,0 1,0 -1,0 4,0 16,0
V7. Health status 0,0 0,0 1,0 2,0 2,0 1,0 -1,0 4,0 16,0
V8. Social environment 0,0 0,0 0,0 1,0 1,0 0,0 -2,0 -2,0 -8,0
V9. Social inequality 0,0 0,0 -1,0 -1,0 -1,0 1,0 0,0 -6,0 -12,0
V10. Demographic indicators 0,0 0,0 0,0 2,0 4,0 4,0 4,0 7,0 25,0
V11. Industrial production 0,0 0,0 0,0 1,0 2,0 2,0 1,0 10,0 26,0
V12. Agricultural production 0,0 0,0 0,0 0,0 4,0 7,0 7,0 11,0 35,0
V13. Labor market 0,0 0,0 0,0 0,0 0,0 6,0 14,0 17,0 25,0
V14. The salary 0,0 0,0 0,0 0,0 2,0 7,0 10,0 14,0 39,0
V15. Population income 0,0 0,0 0,0 0,0 0,0 2,0 7,0 10,0 14,0
V16. Inter-municipal differentiation 0,0 0,0 0,0 1,0 1,0 1,0 6,0 18,0 25,0
V17. Regional migration 0,0 0,0 0,0 0,0 1,0 1,0 2,0 14,0 34,0
V18. Investment climate 0,0 0,0 1,0 1,0 1,0 0,0 4,0 8,0 10,0
V19. State policy in the field
of improving the quality of life 0,0 1,0 1,0 1,0 -1,0 -2,0 -1,0 2,0 2,0
V20. Security (economic, social,
environmental, legal) 0,0 0,0 0,0 1,0 2,0 2,0 1,0 1,0 11,0
V21. Geopolitical situation 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0
In accordance with Table 2 and Fig. 4, adding pulse 119 q at vertex V19
(the state’s social welfare policies) will yield positive results. Positive growing
trends may be traced at the vertices of interest, e.g., at 1V and 2V . At the same
time, processes at ‘undesirable’ vertices tend to decrease, e.g., social inequality is
reducing (vertex 9V ) as well as intermunicipal disparities are narrowing
(vertex 16V ). However, the quality of life though tending to improve slightly
during the 2nd modelling step then decreases, and a considerable improvement of
the trend can only be observed during step 10. This indicates that a single
influence at a vertex might not be enough to achieve the goal of improving the
functioning of the SL&QL system in whole.
Now let us get to scenario 2 and assume that intermunicipal integration is
developing 116 q .
Scenario 2. }0,,1,,0{)( 211612 qqqnQ .
For results of the computing experiment carried out under scenario 2, see
Table 3.
Using cognitive maps to study issues concerning the improvement of the quality of life
Системні дослідження та інформаційні технології, 2020, № 4 35
For the line charts most demonstrable in respect of the situation development
trends at some vertices of graph G , scenario 2 see Fig. 5.
T a b l e 3 . Calculation of impulse processes in accordance with the scenario 2
Step
Vertex
0,0 1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0
V1. Quality of life in the region 0,0 0,0 0,0 0,0 2,0 10,0 29,0 52,0 76,0
V2. Living standards in the region 0,0 0,0 0,0 0,0 3,0 6,0 7,0 18,0 51,0
V3. Gross Regional Product 0,0 0,0 0,0 2,0 3,0 3,0 12,0 31,0 52,0
V4. Regional and municipal budgets 0,0 0,0 1,0 1,0 3,0 7,0 11,0 21,0 43,0
V5. Ecological situation 0,0 0,0 0,0 1,0 1,0 3,0 7,0 11,0 21,0
V6. State of education 0,0 0,0 0,0 1,0 1,0 4,0 7,0 9,0 16,0
V7. Health status 0,0 0,0 0,0 1,0 1,0 4,0 7,0 9,0 16,0
V8. Social environment 0,0 0,0 0,0 -1,0 -1,0 0,0 -2,0 -10,0 -14,0
V9. Social inequality 0,0 0,0 0,0 0,0 -1,0 -4,0 -4,0 -4,0 -15,0
V10. Demographic indicators 0,0 0,0 0,0 0,0 3,0 6,0 15,0 24,0 44,0
V11. Industrial production 0,0 0,0 1,0 1,0 1,0 5,0 12,0 14,0 27,0
V12. Agricultural production 0,0 0,0 1,0 2,0 2,0 7,0 19,0 38,0 55,0
V13. Labor market 0,0 0,0 0,0 2,0 5,0 6,0 13,0 39,0 80,0
V14. The salary 0,0 0,0 1,0 3,0 4,0 6,0 20,0 42,0 69,0
V15. Population income 0,0 0,0 0,0 1,0 3,0 4,0 6,0 20,0 42,0
V16. Inter-municipal differentiation 0,0 1,0 1,0 1,0 3,0 8,0 11,0 17,0 50,0
V17. Regional migration 0,0 0,0 1,0 1,0 1,0 6,0 14,0 18,0 35,0
V18. Investment climate 0,0 0,0 0,0 0,0 2,0 4,0 3,0 10,0 26,0
V19. State policy in the field
of improving the quality of life 0,0 0,0 0,0 0,0 1,0 0,0 -2,0 -5,0 -1,0
V20. Security (economic, social,
environmental, legal) 0,0 0,0 0,0 0,0 1,0 2,0 7,0 11,0 15,0
V21. Geopolitical situation 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0
Adding pulse 116 q at vertex 16V (intermunicipal disparities) also gives
positive results: production is developing and people’s income is growing.
Let us consider a more complex scenario where social and economic security
is declining 120 q but intermunitipal integration is developing 116 q and
the state’s social welfare policies are improving 119 q .
Scenario 3. }0,,1,1,,1,,0{)( 2120191613 qqqqqnQ .
The calculation of the pulse processes under scenario 3 is given in Table 4.
Table 4 contains results of the calculation experiment carried out under sce-
nario 3.
T a b l e 4 . Calculation of impulse processes in accordance with the scenario 3
Step
Vertex
0,0 1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0
V1. Quality of life in the region 0,0 0,0 -1,0 2,0 14,0 32,0 51,0 71,0 126,0
V2. Living standards in the region 0,0 0,0 0,0 0,0 3,0 7,0 16,0 42,0 85,0
V3. Gross Regional Product 0,0 0,0 0,0 2,0 4,0 10,0 27,0 48,0 81,0
V4. Regional and municipal budgets 0,0 0,0 2,0 3,0 6,0 10,0 17,0 40,0 85,0
V5. Ecological situation 0,0 0,0 0,0 2,0 3,0 6,0 10,0 17,0 40,0
V6. State of education 0,0 0,0 1,0 4,0 5,0 7,0 7,0 12,0 36,0
V7. Health status 0,0 0,0 1,0 4,0 5,0 7,0 7,0 12,0 36,0
V.N. Tyushnyakov, Y.G. Tkachenko
ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 36
Continued tabl. 4
Vertex Step
V8. Social environment 0,0 0,0 0,0 0,0 1,0 1,0 -4,0 -14,0 -24,0
V9. Social inequality 0,0 0,0 -1,0 -2,0 -3,0 -4,0 -3,0 -10,0 -33,0
V10. Demographic indicators 0,0 0,0 0,0 2,0 9,0 14,0 23,0 35,0 76,0
V11. Industrial production 0,0 0,0 1,0 2,0 4,0 9,0 15,0 25,0 63,0
V12. Agricultural production 0,0 0,0 1,0 2,0 6,0 18,0 33,0 56,0 101,0
V13. Labor market 0,0 0,0 0,0 2,0 5,0 12,0 33,0 70,0 122,0
V14. The salary 0,0 0,0 1,0 3,0 6,0 15,0 37,0 66,0 122,0
V15. Population income 0,0 0,0 0,0 1,0 3,0 6,0 15,0 37,0 66,0
V16. Inter-municipal differentiation 0,0 1,0 1,0 2,0 5,0 10,0 18,0 41,0 93,0
V17. Regional migration 0,0 0,0 1,0 1,0 2,0 8,0 17,0 34,0 83,0
V18. Investment climate 0,0 0,0 1,0 2,0 4,0 5,0 7,0 22,0 44,0
V19. State policy in the field
of improving the quality of life 0,0 1,0 2,0 2,0 1,0 -3,0 -5,0 -4,0 3,0
V20. Security (economic, social,
environmental, legal) 0,0 -1,0 -1,0 0,0 3,0 5,0 9,0 12,0 26,0
V21. Geopolitical situation 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0
For the line charts most demonstrable in respect of the situation development
trends at some vertices of graph G , scenario 3 see Fig. 6.
Scenario 3 shows how events in the system will develop if, with the deterio-
ration of the heopolytic situation ( 120 q ), inter-municipal differentiation
116 q and sound State policy in the field of improving the quality of life
( 119 q ).
In this case, perturbations are introduced into three vertices.
As can be seen from Fig. 6, joint action successfully resists the deterioration
of the geopolitical situation.
The trend of the development of situations at all peaks can be considered
positive. All indicators, with the exception of negative ones, increase, negative
ones (reduced security, social inecuality) decrease.
At the same time, if we compare the results of modeling according to sce-
nario 2, it can be seen that the processes are developing more intensively.
CONCLUSIONS
Cognitive modelling tools are a good management decision support instrument
when complex systems are studied. This was proved by the cognitive analysis of
the standards of living and quality of life. Analysis of the results of modelling the
complex system’s properties and behavior allows studying its desirable and unde-
sirable features, developing and validating control strategies for a system contain-
ing a great number of objects and interrelations under circumstances of uncer-
tainty and lack of empirical data.
Using cognitive simulation modelling, this paper studies how different fac-
tors affect people’s standards of living and quality of life. The designed cognitive
model allowed analyzing scenarios of the situation evolution when various factors
affecting the standards of living and quality of life change in the frame of interre-
gional disparities.
Using cognitive maps to study issues concerning the improvement of the quality of life
Системні дослідження та інформаційні технології, 2020, № 4 37
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ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 38
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ISSN 1681–6048 System Research & Information Technologies, 2020, № 4 40
It demonstrates that the local authorities need to participate in improving the
people’s quality of life and rising the standards of living to overcome negative
demographic trends, reduce poverty, narrow the gap between the poor and the
rich. As it has been noted earlier, the agricultural support slightly reduced dispar-
ity between the region’s districts but the outpacing growth of the industry and
commerce sector increases the income inequality of those employed in different
sectors of economy. It is proposed that local authorities, taking into consideration
municipal initiatives, should establish growth areas in relatively depressed territo-
ries by actively motivating the people and businesses. The long-term development
concept should be the single basis for the measures, which incorporates estimates
and suggestions of professional economists, managers, financial experts, industri-
alists, farmers, and social workers.
FUNDING
The study was carried out with funding from RFBR, project #20-010-00815 A
“Development of the Concept of the Quality of Life Improvement and Standards
of Living Rising for the Region’s Population in the Frame of Intermunicipal Dis-
parities, in Line with Economy Digitalization Trends”.
REFERENCES
1. Order of the Government of the Russian Federation of November 17, 2008 No. 1662
“On the Concept of long-term socio-economic development of the Russian Federa-
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2. P.I. Ibragimova and B.Sh. Dadaeva, “The quality of life of the population as the
main indicator of the socio-economic development of the country”, Modern trends in
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Received 15.11.2020
_______________________________
From the Editorial Board: the article corresponds completely to submitted manuscript.
INFORMATION ON THE ARTICLE
Vitaly N. Tyushnyakov, ORCID: 0000-0002-4460-5672, Southern Federal University,
Taganrog, Russian Federation, e-mail: gimutvn@gmail.com
Yulia G. Tkachenko, ORCID: 0000-0002-0024-3534, Southern Federal University, Ta-
ganrog, Russian Federation, e-mail: julikatka@yandex.ru
ЗАСТОСУВАННЯ КОГНІТИВНИХ КАРТ ДЛЯ ДОСЛІДЖЕННЯ ПРОБЛЕМ
ПІДВИЩЕННЯ ЯКОСТІ ЖИТТЯ НАСЕЛЕННЯ В УМОВАХ
МІЖРЕГІОНАЛЬНОЇ ДИФЕРЕНЦІАЦІЇ / В.М. Тюшняков, Ю.Г. Ткаченко
Анотація. Роботу присвячено дослідженню питань підвищення рівня і якості
життя населення в умовах міжмуніципальної диференціації. Розглянуто пи-
тання імітаційного моделювання під час дослідження рівня та якості життя на-
селення. Інструменти когнітивного імітаційного моделювання використано
для отримання нових знань про регіональну соціально-економічну, екологічну,
політичну системи, що визначають рівень і якість життя населення. Розробле-
но когнітивну модель для дослідження якості життя, виконано аналіз її струк-
турних властивостей, проведено сценарне моделювання можливого розвитку
ситуацій під впливом різних факторів. Новизна роботи полягає в застосуванні
нової інформаційної технології когнітивного моделювання до вивчення питань
підвищення якості життя громадян в умовах міжмуніципальної диференціації.
Ключові слова: когнітивне моделювання, якість життя населення, рівень жит-
тя, регіональний розвиток, міжмуніципальна диференціація.
ПРИМЕНЕНИЕ КОГНИТИВНЫХ КАРТ ДЛЯ ИССЛЕДОВАНИЯ ПРОБЛЕМ
ПОВЫШЕНИЯ КАЧЕСТВА ЖИЗНИ НАСЕЛЕНИЯ В УСЛОВИЯХ
МЕЖРЕГИОНАЛЬНОЙ ДИФФЕРЕНЦИАЦИИ / В.Н. Тюшняков, Ю.Г. Ткаченко
Аннотация. Работа посвящена исследованию вопросов повышения уровня и
качества жизни населения в условиях межмуниципальной дифференциации.
Рассмотрены вопросы имитационного моделирования при исследовании уров-
ня и качества жизни населения. Инструменты когнитивного имитационного
моделирования использованы для получения новых знаний о региональной
социально-экономической, экологической, политической систем, определяю-
щих уровень и качество жизни населения. Разработана когнитивная модель
для исследования качества жизни, выполнен анализ ее структурных свойств,
проведено сценарное моделирование возможного развития ситуаций под воз-
действием различных факторов. Новизна работы состоит в применении новой
информационной технологии когнитивного моделирования к изучению вопро-
сов повышения качества жизни граждан в условиях межмуниципальной диф-
ференциации.
Ключевые слова: когнитивное моделирование, качество жизни населения,
уровень жизни, региональное развитие, межмуниципальная дифференциация.
|
| id | journaliasakpiua-article-228320 |
| institution | System research and information technologies |
| keywords_txt_mv | keywords |
| language | English |
| last_indexed | 2025-07-17T10:27:04Z |
| publishDate | 2020 |
| publisher | The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" |
| record_format | ojs |
| resource_txt_mv | journaliasakpiua/82/4d7055c814e86daa56f8fbd3f670e382.pdf |
| spelling | journaliasakpiua-article-2283202021-04-08T14:17:06Z Using cognitive maps to study issues concerning the improvement of the quality of life of population in the frame of interregional disparities Применение когнитивных карт для исследования проблем повышения качества жизни населения в условиях межрегиональной дифференциации Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації Tyushnyakov, Vitaly Tkachenko, Yulia cognitive modelling quality of life of population standards of living regional development intermunicipal disparities когнитивное моделирование качество жизни населения уровень жизни региональное развитие межмуниципальная дифференциация когнітивне моделювання якість життя населення рівень життя регіональний розвиток міжмуніципальна диференціація This paper studies issues of the rise in the standards of living and improvement of the quality of life of the population in the frame of intermunicipal disparities. Simulation and modelling are examined in relation to research of standards of living and quality of life. Tools of cognitive modelling and simulation are used to acquire new knowledge on the regional social and economic, ecological, and political system which determines the standards of living and quality of life. A cognitive model studying the quality of life was designed and its structural properties were analyzed. Scenarios were created to model possible developments of the situation under the influence of various factors. The novelty of the work is in applying a new informational technology of cognitive modelling to studying the improvement of the quality of life in the frame of intermunicipal disparities. Работа посвящена исследованию вопросов повышения уровня и качества жизни населения в условиях межмуниципальной дифференциации. Рассмотрены вопросы имитационного моделирования при исследовании уровня и качества жизни населения. Инструменты когнитивного имитационного моделирования использованы для получения новых знаний о региональной социально-экономической, экологической, политической систем, определяющих уровень и качество жизни населения. Разработана когнитивная модель для исследования качества жизни, выполнен анализ ее структурных свойств, проведено сценарное моделирование возможного развития ситуаций под воздействием различных факторов. Новизна работы состоит в применении новой информационной технологии когнитивного моделирования к изучению вопросов повышения качества жизни граждан в условиях межмуниципальной дифференциации. Роботу присвячено дослідженню питань підвищення рівня і якості життя населення в умовах міжмуніципальної диференціації. Розглянуто питання імітаційного моделювання під час дослідження рівня та якості життя населення. Інструменти когнітивного імітаційного моделювання використано для отримання нових знань про регіональну соціально-економічну, екологічну, політичну системи, що визначають рівень і якість життя населення. Розроблено когнітивну модель для дослідження якості життя, виконано аналіз її структурних властивостей, проведено сценарне моделювання можливого розвитку ситуацій під впливом різних факторів. Новизна роботи полягає в застосуванні нової інформаційної технології когнітивного моделювання до вивчення питань підвищення якості життя громадян в умовах міжмуніципальної диференціації. The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2020-12-29 Article Article application/pdf https://journal.iasa.kpi.ua/article/view/228320 10.20535/SRIT.2308-8893.2020.4.03 System research and information technologies; No. 4 (2020); 29-42 Системные исследования и информационные технологии; № 4 (2020); 29-42 Системні дослідження та інформаційні технології; № 4 (2020); 29-42 2308-8893 1681-6048 en https://journal.iasa.kpi.ua/article/view/228320/227444 |
| spellingShingle | когнітивне моделювання якість життя населення рівень життя регіональний розвиток міжмуніципальна диференціація Tyushnyakov, Vitaly Tkachenko, Yulia Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title | Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title_alt | Using cognitive maps to study issues concerning the improvement of the quality of life of population in the frame of interregional disparities Применение когнитивных карт для исследования проблем повышения качества жизни населения в условиях межрегиональной дифференциации |
| title_full | Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title_fullStr | Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title_full_unstemmed | Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title_short | Застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| title_sort | застосування когнітивних карт для дослідження проблем підвищення якості життя населення в умовах міжрегіональної диференціації |
| topic | когнітивне моделювання якість життя населення рівень життя регіональний розвиток міжмуніципальна диференціація |
| topic_facet | cognitive modelling quality of life of population standards of living regional development intermunicipal disparities когнитивное моделирование качество жизни населения уровень жизни региональное развитие межмуниципальная дифференциация когнітивне моделювання якість життя населення рівень життя регіональний розвиток міжмуніципальна диференціація |
| url | https://journal.iasa.kpi.ua/article/view/228320 |
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